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首页> 外文期刊>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences >Power Distribution Network Optimization for Timing Improvement with Statistical Noise Model and Timing Analysis
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Power Distribution Network Optimization for Timing Improvement with Statistical Noise Model and Timing Analysis

机译：统计噪声模型和时序分析的配电网优化以改善时序

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摘要

We propose an optimization method for power distribution network that explicitly deals with timing. We have found and focused on the facts that decoupling capacitance (decap) does not necessarily improve gate delay depending on the switching timing within a cycle and that power wire expansion may locally degrade the voltage. To resolve the above facts, we devised an efficient sensitivity calculation of timing to decap size and power wire width for guiding optimization. The proposed method, which is based on statistical noise modeling and timing analysis, accelerates sensitivity calculation with an approximation and adjoint sensitivity analysis. Experimental results show that decap allocation based on the sensitivity analysis efficiently minimizes the worst-case circuit delay within a given decap budget. Compared to the maximum decap placement, the delay improvement due to decap increases by 3.13% even while the total amount of decaps is reduced to 40%. The wire sizing with the proposed method also efficiently reduces required wire resource necessary to attain the same circuit delay by 11.5%.
机译：我们提出了一种配电网络的优化方法，该方法可以明确处理时序问题。我们已经发现并关注以下事实：去耦电容（decap）不一定会根据一个周期内的开关时序而改善栅极延迟，并且电源线的扩展会局部降低电压。为了解决上述事实，我们设计了一种有效的灵敏度计算方法，以计算去盖尺寸和电源线宽度的时间，以指导优化。该方法基于统计噪声建模和时序分析，可通过近似和伴随灵敏度分析来加快灵敏度计算。实验结果表明，基于灵敏度分析的去电容器分配可以在给定的去电容器预算内有效地最小化最坏情况下的电路延迟。与最大装盖量相比，即使将装盖量减少到40％，由于装盖所导致的延迟改善也增加了3.13％。用所提出的方法确定导线的尺寸还可以有效地减少获得相同电路延迟所需的所需导线资源11.5％。

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